DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Japanese-specialized large-language-model for enterprises to read and understand complex business documents.
State-of-the-art model for Polish language processing tasks such as text generation, Q&A, and chatbots.
80B parameter AI model with hybrid reasoning, MoE architecture, support for 119 languages.
ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.
DeepSeek V3.1 Instruct is a hybrid AI model with fast reasoning, 128K context, and strong tool use.
Stable Diffusion 3.5 is a popular text-to-image generation model
FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.
Reasoning vision language model (VLM) for physical AI and robotics.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Smaller Mixture of Experts (MoE) text-only LLM for efficient AI reasoning and math
Mixture of Experts (MoE) reasoning LLM (text-only) designed to fit within 80GB GPU.
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Multilingual 7B LLM, instruction-tuned on all 24 EU languages for stable, culturally aligned output.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Lightweight reasoning model for applications in latency bound, memory/compute constrained environments
State-of-the-art open mixture-of-experts model with strong reasoning, coding, and agentic capabilities
High performance reasoning model optimized for efficiency and edge deployment
Translation model in 12 languages with few-shots example prompts capability.
Multi-modal model to classify safety for input prompts as well output responses.
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Built for agentic workflows, this model excels in coding, instruction following, and function calling
Build a data flywheel, with NVIDIA NeMo microservices, that continuously optimizes AI agents for latency and cost — while maintaining accuracy targets.
Improve safety, security, and privacy of AI systems at build, deploy and run stages.
Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Multi-modal vision-language model that understands text/img and creates informative responses
State-of-the-art model for Polish language processing tasks such as text generation, Q&A, and chatbots.
State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents
State-of-the-art open model trained on open datasets, excelling in reasoning, math, and science.
Small language model fine-tuned for improved reasoning, coding, and instruction-following
Advanced reasoing MOE mode excelling at reasoning, multilingual tasks, and instruction following
FLUX.1-schnell is a distilled image generation model, producing high quality images at fast speeds
State-of-the-art, multilingual model tailored to all 24 official European Union languages.
Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses
Powerful, multimodal language model designed for enterprise applications, including software development, data analysis, and reasoning.
FLUX.1 is a state-of-the-art suite of image generation models
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
Build a custom deep researcher powered by state-of-the-art models that continuously process and synthesize multimodal enterprise data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Generalist model to generate future world state as videos from text and image prompts to create synthetic training data for robots and autonomous vehicles.
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Leading reasoning and agentic AI accuracy model for PC and edge.
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
A lightweight, multilingual, advanced SLM text model for edge computing, resource constraint applications
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Route LLM requests to the best model for the task at hand.
Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.
Robust Speech Recognition via Large-Scale Weak Supervision.
Latency-optimized language model excelling in code, math, general knowledge, and instruction-following.
Continuously extract, embed, and index multimodal data for fast, accurate semantic search. Built on world-class NeMo Retriever models, the RAG blueprint connects AI applications to multimodal enterprise data wherever it resides.
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
Industry leading jailbreak classification model for protection from adversarial attempts
Leading content safety model for enhancing the safety and moderation capabilities of LLMs
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Multi-modal vision-language model that understands text/img/video and creates informative responses
Powerful mid-size code model with a 32K context length, excelling in coding in multiple languages.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Advanced AI model detects faces and identifies deep fake images.
Efficient hybrid state-space model designed for conversational and reasoning tasks.
Sovereign AI model trained on Japanese language that understands regional nuances.
Sovereign AI model trained on Japanese language that understands regional nuances.
Leaderboard topping reward model supporting RLHF for better alignment with human preferences.
Advanced state-of-the-art small language model with language understanding, superior reasoning, and text generation.
Cutting-edge vision-language model exceling in high-quality reasoning from images.
Cutting-edge vision-Language model exceling in high-quality reasoning from images.
Advanced state-of-the-art small language model with language understanding, superior reasoning, and text generation.
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
Fine-tuned Llama 3.1 70B model for code generation, summarization, and multi-language tasks.
Robust image classification model for detecting and managing AI-generated content.
Sovereign AI model finetuned on Traditional Mandarin and English data using the Llama-3 architecture.
Sovereign AI model trained on Japanese language that understands regional nuances.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
Grounding dino is an open vocabulary zero-shot object detection model.
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
Guardrail model to ensure that responses from LLMs are appropriate and safe
Advanced small language generative AI model for edge applications
Verify compatibility of OpenUSD assets with instant RTX render and rule-based validation.
Model for writing and interacting with code across a wide range of programming languages and tasks.
Advanced state-of-the-art model with language understanding, superior reasoning, and text generation.
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
Multilingual text reranking model.
English text embedding model for question-answering retrieval.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
Advanced programming model for code completion, summarization, and generation
Cutting-edge text generation model text understanding, transformation, and code generation.
Cutting-edge text generation model text understanding, transformation, and code generation.
Advanced text-to-image model for generating high quality images
Excels in NLP tasks, particularly in instruction-following, reasoning, and mathematics.
A generative model of protein backbones for protein binder design.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
Long context cutting-edge lightweight open language model exceling in high-quality reasoning.
Cutting-edge lightweight open language model exceling in high-quality reasoning.
LLM to represent and serve the linguistic and cultural diversity of Southeast Asia
Lightweight, state-of-the-art open LLM with strong math and logical reasoning skills.
Optimized community model for text embedding.
Lightweight, state-of-the-art open LLM with strong math and logical reasoning skills.
An MOE LLM that follows instructions, completes requests, and generates creative text.
Powers complex conversations with superior contextual understanding, reasoning and text generation.
Advanced state-of-the-art LLM with language understanding, superior reasoning, and text generation.
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
An MOE LLM that follows instructions, completes requests, and generates creative text.
